FastMCP
Integrates FastAPI with Google's Gemini AI through the Model Context Protocol (MCP) using FastMCP, enabling natural language interaction with API endpoints.
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This project provides a comprehensive demonstration of how to seamlessly integrate a FastAPI application with Google's Gemini AI, leveraging the Model Context Protocol (MCP) through FastMCP. It sets up a RESTful API for user management using FastAPI, then exposes these API functionalities as callable tools via an FastMCP server. This allows Gemini AI to automatically interact with the FastAPI endpoints using natural language prompts, enabling intelligent API interaction, complete CRUD operations, and system health checks, all driven by AI.
Características Principales
- Natural Language Interface
- Automatic Tool Selection
- Real-time API Interaction
- Complete CRUD Operations
- Cross-platform Support
- 0 GitHub stars
Casos de Uso
- Enabling natural language queries for API data
- Automating CRUD operations through AI commands
- Monitoring application health and retrieving system information using natural language prompts
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